Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. 由 Laura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, Graeme Macluskie, David Bunton, Marian McNeil, Edward O Pyzer-Knapp

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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production 由 Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

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DGCNN approach links metagenome-derived taxon and functional information providing insight into global soil organic carbon 由 Laura-Jayne Gardiner, Matthew Marshall, Katharina Reusch, Chris Dearden, Mark Birmingham, Anna Paola Carrieri, Edward O. Pyzer-Knapp, Ritesh Krishna, Andrew L. Neal

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Human Skin, Oral, and Gut Microbiomes Predict Chronological Age 由 Shi Huang, Niina Haiminen, Anna-Paola Carrieri, Rebecca Hu, Lingjing Jiang, Laxmi Parida, Baylee Russell, Celeste Allaband, Amir Zarrinpar, Yoshiki Vázquez-Baeza, Pedro Belda-Ferre, Hongwei Zhou, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Zhenjiang Zech Xu

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EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets 由 Kalen Cantrell, Marcus W. Fedarko, Gibraan Rahman, Daniel McDonald, Yimeng Yang, Thant Zaw, Antonio Gonzalez, Stefan Janssen, Mehrbod Estaki, Niina Haiminen, Kristen L. Beck, Qiyun Zhu, Erfan Sayyari, James T. Morton, George Armstrong, Anupriya Tripathi, Julia M. Gauglitz, Clarisse Marotz, Nathaniel L. Matteson, Cameron Martino, Jon G. Sanders, Anna Paola Carrieri, Se Jin Song, Austin D. Swafford, Pieter C. Dorrestein, Kristian G. Andersen, Laxmi Parida, Ho-Cheol Kim, Yoshiki Vázquez-Baeza, Rob Knight

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